Link Prediction using Numerical Weights for Knowledge Graph Completion within the Scholarly Domain

By |2020-12-11T00:29:15+01:00December 11th, 2020|

Abstract Knowledge graphs (KGs) are widely used for modeling scholarly communication, informing scientometric analysis, and supporting a variety of intelligent services to explore the literature and predict research dynamics. However, they often suffer from incompleteness (eg, missing affiliations, references, research topics), which ends up reducing the scope and quality of the resulting analysis. This [...]

5* Knowledge Graph Embeddings with Projective Transformations

By |2020-06-08T20:29:29+02:00June 8th, 2020|

Abstract Performing link prediction using knowledge graph embedding (KGE) models is a popular approach for knowledge graph completion. Such link predictions are performed by measuring the likelihood of links in the graph via a transformation function that maps nodes via edges into a vector space. Since the complex structure of the real world is [...]

Reasoning in Knowledge Graphs: An Embeddings Spotlight

By |2020-06-03T13:06:59+02:00June 3rd, 2020|

Abstract In this chapter we introduce the aspect of reasoning in Knowledge Graphs. As in Chap. 2, we will give a broad overview focusing on the multitude of reasoning techniques: spanning logic-based reasoning, embedding-based reasoning, neural network-based reasoning, etc. In particular, we will discuss three dimensions of reasoning in Knowledge Graphs. Complementing these dimensions, [...]

Unveiling scholarly communities over knowledge graphs

By |2018-09-10T13:08:20+02:00September 10th, 2018|

Abstract Knowledge graphs represent the meaning of properties of real-world entities and relationships among them in a natural way. Exploiting semantics encoded in knowledge graphs enables the implementation of knowledge-driven tasks such as semantic retrieval, query processing, and question answering, as well as solutions to knowledge discovery tasks including pattern discovery and link prediction. [...]

A reduced feature based neural network approach to classify the category of students

By |2018-03-09T18:23:14+01:00March 9th, 2018|

Abstract To ensure more effectiveness in the learning process in educational institutions, categorization of students is a very interesting method to enhance student's learning capabilities by identifying the factors that affect their performance and use their categories to design targeted inventions for improving their quality. Many research works have been conducted on student performances, [...]

SemSur: a core ontology for the semantic representation of research findings

By |2018-01-01T13:27:10+01:00January 1st, 2018|

Abstract The way how research is communicated using text publications has not changed much over the past decades. We have the vision that ultimately researchers will work on a common structured knowledge base comprising comprehensive semantic and machine-comprehensible descriptions of their research, thus making research contributions more transparent and comparable. We present the SemSur [...]

Towards a knowledge graph representing research findings by semantifying survey articles

By |2017-09-17T15:54:04+02:00September 17th, 2017|

Abstract Despite significant advances in technology, the way how research is done and especially communicated has not changed much. We have the vision that ultimately researchers will work on a common knowledge base comprising comprehensive descriptions of their research, thus making research contributions transparent and comparable. The current approach for structuring, systematizing and comparing [...]

Analysing scholarly communication metadata of computer science events

By |2017-09-17T13:56:02+02:00September 17th, 2017|

Abstract Over the past 30 years we have observed the impact of the ubiquitous availability of the Internet, email, and web-based services on scholarly communication. The preparation of manuscripts as well as the organisation of conferences, from submission to peer review to publication, have become considerably easier and efficient. A key question now is [...]

OpenResearch: Collaborative Management of Scholarly Communication Metadata

By |2016-11-19T01:39:26+01:00November 19th, 2016|

Abstract Scholars often need to search for matching, high-profile scientific events to publish their research results. Information about topical focus and quality of events is not made sufficiently explicit in the existing communication channels where events are announced. Therefore, scholars have to spend a lot of time on reading and assessing calls for papers [...]

OpenAIRE LOD services: scholarly communication data as linked data

By |2016-04-11T14:21:27+02:00April 11th, 2016|

Abstract OpenAIRE, the Open Access Infrastructure for Research in Europe, enables search, discovery and monitoring of publications and datasets from more than 100,000 research projects. Increasing the reusability of the OpenAIRE research metadata, connecting it to other open data about projects, publications, people and organizations, and reaching out to further related domains requires better [...]

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